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Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods
Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods
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Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods

Mathematical Programming, Series A, 2013-02, Vol.137 (1-2), p.91-129 [Peer Reviewed Journal]

Springer and Mathematical Optimization Society 2011 ;Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2013 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-011-0484-9 ;CODEN: MHPGA4

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2
Parallel coordinate descent methods for big data optimization
Parallel coordinate descent methods for big data optimization
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Parallel coordinate descent methods for big data optimization

Mathematical programming, 2016-03, Vol.156 (1-2), p.433-484 [Peer Reviewed Journal]

The Author(s) 2015 ;Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2016 ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-015-0901-6 ;CODEN: MHPGA4

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3
Efficient global optimization algorithm assisted by multiple surrogate techniques
Efficient global optimization algorithm assisted by multiple surrogate techniques
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Efficient global optimization algorithm assisted by multiple surrogate techniques

Journal of global optimization, 2013-06, Vol.56 (2), p.669-689 [Peer Reviewed Journal]

Springer Science+Business Media, LLC. 2012 ;COPYRIGHT 2022 Springer ;Springer Science+Business Media New York 2013 ;ISSN: 0925-5001 ;EISSN: 1573-2916 ;DOI: 10.1007/s10898-012-9892-5

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4
Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
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Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection

Journal of global optimization, 2016-01, Vol.64 (1), p.17-32 [Peer Reviewed Journal]

The Author(s) 2015 ;COPYRIGHT 2016 Springer ;Springer Science+Business Media New York 2016 ;ISSN: 0925-5001 ;EISSN: 1573-2916 ;DOI: 10.1007/s10898-015-0270-y

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5
Theory and Applications of Robust Optimization
Theory and Applications of Robust Optimization
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Theory and Applications of Robust Optimization

SIAM review, 2011-01, Vol.53 (3), p.464-501 [Peer Reviewed Journal]

Copyright ©2011 Society for Industrial and Applied Mathematics ;2015 INIST-CNRS ;[Copyright] © 2011 Society for Industrial and Applied Mathematics ;ISSN: 0036-1445 ;EISSN: 1095-7200 ;DOI: 10.1137/080734510 ;CODEN: SIREAD

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6
Gradient methods for minimizing composite functions
Gradient methods for minimizing composite functions
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Gradient methods for minimizing composite functions

Mathematical programming, 2013-08, Vol.140 (1), p.125-161 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2012 ;Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2013 ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-012-0629-5 ;CODEN: MHPGA4

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7
Simulation optimization: a review of algorithms and applications
Simulation optimization: a review of algorithms and applications
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Simulation optimization: a review of algorithms and applications

Annals of operations research, 2016-05, Vol.240 (1), p.351-380 [Peer Reviewed Journal]

The Author(s) 2015 ;COPYRIGHT 2016 Springer ;Springer Science+Business Media New York 2016 ;ISSN: 0254-5330 ;EISSN: 1572-9338 ;DOI: 10.1007/s10479-015-2019-x

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8
A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality
A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality
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A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality

Journal of optimization theory and applications, 2011-02, Vol.148 (2), p.257-280 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2010 ;2015 INIST-CNRS ;Springer Science+Business Media, LLC 2011 ;ISSN: 0022-3239 ;EISSN: 1573-2878 ;DOI: 10.1007/s10957-010-9754-6 ;CODEN: JOTABN

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9
Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions
Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions
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Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions

Mathematical programming, 2017, Vol.161 (1-2), p.419-449 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2016 ;Mathematical Programming is a copyright of Springer, 2017. ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-016-1017-3 ;CODEN: MHPGA4

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10
Minimizing finite sums with the stochastic average gradient
Minimizing finite sums with the stochastic average gradient
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Minimizing finite sums with the stochastic average gradient

Mathematical programming, 2017-03, Vol.162 (1-2), p.83-112 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2016 ;Mathematical Programming is a copyright of Springer, 2017. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-016-1030-6 ;CODEN: MHPGA4

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11
A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms
A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms
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A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms

Journal of optimization theory and applications, 2013-08, Vol.158 (2), p.460-479 [Peer Reviewed Journal]

Springer Science+Business Media New York 2012 ;Springer Science+Business Media New York 2013 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0022-3239 ;EISSN: 1573-2878 ;DOI: 10.1007/s10957-012-0245-9

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12
Variable Metric Forward–Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function
Variable Metric Forward–Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function
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Variable Metric Forward–Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function

Journal of optimization theory and applications, 2014-07, Vol.162 (1), p.107-132 [Peer Reviewed Journal]

Springer Science+Business Media New York 2013 ;Springer Science+Business Media New York 2014 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0022-3239 ;EISSN: 1573-2878 ;DOI: 10.1007/s10957-013-0465-7

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13
Global optimization of bilinear programs with a multiparametric disaggregation technique
Global optimization of bilinear programs with a multiparametric disaggregation technique
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Global optimization of bilinear programs with a multiparametric disaggregation technique

Journal of global optimization, 2013-12, Vol.57 (4), p.1039-1063 [Peer Reviewed Journal]

Springer Science+Business Media New York 2012 ;COPYRIGHT 2013 Springer ;Springer Science+Business Media New York 2013 ;ISSN: 0925-5001 ;EISSN: 1573-2916 ;DOI: 10.1007/s10898-012-0022-1

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14
A comprehensive review of swarm optimization algorithms
A comprehensive review of swarm optimization algorithms
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A comprehensive review of swarm optimization algorithms

PloS one, 2015-05, Vol.10 (5), p.e0122827-e0122827 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Ab Wahab et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Ab Wahab et al 2015 Ab Wahab et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0122827 ;PMID: 25992655

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15
Derivative-free optimization: a review of algorithms and comparison of software implementations
Derivative-free optimization: a review of algorithms and comparison of software implementations
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Derivative-free optimization: a review of algorithms and comparison of software implementations

Journal of global optimization, 2013-07, Vol.56 (3), p.1247-1293 [Peer Reviewed Journal]

Springer Science+Business Media, LLC. 2012 ;COPYRIGHT 2022 Springer ;Springer Science+Business Media New York 2013 ;ISSN: 0925-5001 ;EISSN: 1573-2916 ;DOI: 10.1007/s10898-012-9951-y

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16
Biased random-key genetic algorithms for combinatorial optimization
Biased random-key genetic algorithms for combinatorial optimization
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Biased random-key genetic algorithms for combinatorial optimization

Journal of heuristics, 2011-10, Vol.17 (5), p.487-525 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2010 ;Springer Science+Business Media, LLC 2011 ;ISSN: 1381-1231 ;EISSN: 1572-9397 ;DOI: 10.1007/s10732-010-9143-1

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17
Bat algorithm: a novel approach for global engineering optimization
Bat algorithm: a novel approach for global engineering optimization
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Bat algorithm: a novel approach for global engineering optimization

Engineering computations, , Vol.29 (5), p.464-483 [Peer Reviewed Journal]

Emerald Group Publishing Limited ;Copyright Emerald Group Publishing Limited 2012 ;ISSN: 0264-4401 ;EISSN: 1758-7077 ;DOI: 10.1108/02644401211235834

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18
Milepost GCC: Machine Learning Enabled Self-tuning Compiler
Milepost GCC: Machine Learning Enabled Self-tuning Compiler
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Milepost GCC: Machine Learning Enabled Self-tuning Compiler

International journal of parallel programming, 2011-06, Vol.39 (3), p.296-327 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2011 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-7458 ;EISSN: 1573-7640 ;DOI: 10.1007/s10766-010-0161-2 ;CODEN: IJPPE5

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19
GloMIQO: Global mixed-integer quadratic optimizer
GloMIQO: Global mixed-integer quadratic optimizer
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GloMIQO: Global mixed-integer quadratic optimizer

Journal of global optimization, 2013-09, Vol.57 (1), p.3-50 [Peer Reviewed Journal]

Springer Science+Business Media, LLC. 2012 ;Springer Science+Business Media New York 2013 ;ISSN: 0925-5001 ;EISSN: 1573-2916 ;DOI: 10.1007/s10898-012-9874-7

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20
Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function
Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function
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Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function

Mathematical programming, 2014-04, Vol.144 (1-2), p.1-38 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2012 ;Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2014 ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-012-0614-z ;CODEN: MHPGA4

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